卡尔曼滤波在运动物体跟踪中的应用研究

A. Czyżewski, P. Dalka
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引用次数: 25

摘要

利用卡尔曼滤波建立视频帧中运动物体与被分析的真实运动物体之间的关系。由于应用了一些流行的运动物体检测方法,物体用矩形表示。实验中每个物体使用基于颜色空间的二维颜色直方图。利用卡尔曼滤波实验研究了包含多对多关系的适当区域的目标耦合问题。所实现的算法为安防应用提供了先进的音视频监控系统的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining Kalman Filters Applied to Tracking Objects in Motion
Kalman filters were used for establishing relations between objects moving in video frames to the real moving objects under analysis. As a result of applying some popular methods of moving objects detection, the objects were represented by rectangles. A two-dimensional colour histogram based on a chromatic space was used for each object in experiments. The objects coupling with adequate regions including the relation of many-to-many was studied experimentally employing Kalman filters. The implemented algorithm provides a part of an advanced audio-video surveillance system for security applications.
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